ゼロ's repositories
binomial-expansion-cli
A command line tool to expand expressions using the binomial expansion formula, written in python
friction-dynamics-cpp
C++ functions to calculate some frictional dyamics problems on horizontal and inclined planes.
go-auth-backend
Backend server with complete user authentication using JSON Web Tokens, the Chi web framework and PostgreSQL
go-email-api
An example of sending emails using Google's SMTP in Go
ml-sentiment-analyzer-client
Web client for an ML sentiment analyzer built using TensorFlow, trained on a large dataset of product reviews.
c-bit-masks
Experimenting with bit-masks and bit-level manipulations in C
go-web-server
Fast web server that connects to a remote render postgreSQL database instance and uses the gorilla mux framework, written in GO
json-parser
JSON file parser written in Python.
rust-algorithms-02
Algorithms and data structures covered in ch. 02 - ch. 03 implemented in Rust
rust-basic-algorithms
Basic algorithms implemented in Rust
rust-shift-cipher
A CLI tool for generating encrypted texts based on the shift (caesar) cipher algorithm, written in Rust
c-read-bytes
A c program that prints the bytes of data stored in a block of memory in hex format
code_wars_cpp
Efficient algorithms to solve various code wars kata, written in C++
csc-121-assignment
CSC 121 Assignments
go-todo-cli
A light-weight and fast in-memory todo-list command-line application, written in GO
molla-backend
E-commerce application backend, written with nodejs & typescript.
old.xero.engineer
[OLD] A space on the internet for my thoughts.
python-parse-tree
Python implementation of a parse tree built using standard binary trees
rust-hash-tables
An efficient hash table implementation in written Rust
rust-heap-ds
Heap data structure implementation in Rust
sentiment-analysis-api
Web API for a sentiment analysis model trained using a large public reviews dataset.
xero.engineer
XERO // My space on the internet for my ramblings and what not.
HatchDevAssigmentSubmissions
Hatchdev 2.0 assignment submissions
nithub
Tracking NitHub progress
sentiment-analysis-with-lstm
This project implements sentiment analysis on customer reviews using LSTM (Long Short-Term Memory) neural networks. The goal is to classify whether a review is positive or negative based on the text content.